Statistics for Geobiology and Paleobiology
| Course type | lecture and tutorial |
| Information | Master's program "Geobiology and Paleobiology" (MGAP) LSF |
| Responsible(s) | Dr. Sergio Vargas |
| Eligible for | MSc Geobiology and Paleobiology: P5.1, P5.2 |
| Course location | Paläontologie, Richard-Wagner-Str. 10 |
| Date | SoSe |
| Course material | - |
Course content
Theoretical and practical background and application of different statistical analyses to geobiological and paleobiological data matrices.
In detail, the courses include the following contents:
Formulating and testing statistical hypotheses, analysis of data using linear models and multivariate statistical methods, introduction into experimental design.
Introduction to the statistical programming environments (e.g. R) for data analysis and data visualization in Geobiology and Paleobiology.
At the end of the module students will be able to understand and apply statistical methods to geobiological and paleobiological datasets. They will be able to design experiments in an adequate manner and to analyse the data derived from them.
Students will be capable of using an statistical programming environment (e.g. R) to analyse data matrices and produce publication quality graphics describing these data. In addition, they will be capable of creating repositories to store data and scripts, and to use advanced typesetting systems (e.g. markdown, latex) to present their results.
(from: Module Catalogue M.Sc. Geobiology and Paleobiology, 2017)
